class_docstr: Abstract class for Flavor Backend.
  This class defines the API interface for local model deployment of MLflow model flavors.
docstr: Generate predictions using a saved MLflow model referenced by the given URI.
  Input and output are read from and written to a file or stdin / stdout.
  
  :param model_uri: URI pointing to the MLflow model to be used for scoring.
  :param input_path: Path to the file with input data. If not specified, data is read from
                     stdin.
  :param output_path: Path to the file with output predictions. If not specified, data is
                      written to stdout.
  :param content_type: Specifies the input format. Can be one of {``json``, ``csv``}
docstr_tok: ["Generate","predictions","using","a","saved","MLflow","model","referenced","by","the","given","URI",".","Input","and","output","are","read","from","and","written","to","a","file","or","stdin","\/","stdout",".",":","param","model_uri",":","URI","pointing","to","the","MLflow","model","to","be","used","for","scoring",".",":","param","input_path",":","Path","to","the","file","with","input","data",".","If","not","specified",",","data","is","read","from","stdin",".",":","param","output_path",":","Path","to","the","file","with","output","predictions",".","If","not","specified",",","data","is","written","to","stdout",".",":","param","content_type",":","Specifies","the","input","format",".","Can","be","one","of","{","``","json","``",",","``","csv","``","}"]
code: def predict(self, model_uri, input_path, output_path, content_type):
      """
      Generate predictions using a saved MLflow model referenced by the given URI.
      Input and output are read from and written to a file or stdin / stdout.
  
      :param model_uri: URI pointing to the MLflow model to be used for scoring.
      :param input_path: Path to the file with input data. If not specified, data is read from
                         stdin.
      :param output_path: Path to the file with output predictions. If not specified, data is
                          written to stdout.
      :param content_type: Specifies the input format. Can be one of {``json``, ``csv``}
      """
      pass
  
file_path: mlflow/mlflow/models/flavor_backend.py
imports: from abc import ABCMeta, abstractmethod
  from mlflow.utils.annotations import developer_stable
label_desc: Use image node_id 2 for calling the FlavorBackend obj's underlying member method code with example usage: obj.predict(model_uri, input_path, output_path, content_type) without return types